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Cloud Tools Rev Up AI Dev Platforms

The latest release of analytics startup Dataiku’s platform incorporates application container and orchestration capabilities along with expanded support for deep learning libraries to help launch enterprise AI project Read more…

Winners and Losers from Gartner’s Data Science and ML Platform Report

Gartner published its latest Magic Quadrant for data science and machine learning platforms last week. Sixteen vendors made cut for Gartner's report this year, the same number as last year. However, there were some impor Read more…

ParallelM Aims to Close the Gap in ML Operationalization

A startup named ParallelM today unveiled new software aimed at alleviating data scientists from the burden of manually deploying, monitoring, and managing machine learning pipelines in production. Dubbed MLOps, Parall Read more…

Teradata Climbs Up the Stack with ‘Analytics Platform’ Strategy

Teradata is extending the types of data, algorithms, and frameworks it can store and run in its flagship MPP database as part of the new Teradata Analytics Platform unveiled at its annual user conference today. Shipping Read more…

GDPR: Say Goodbye to Big Data’s Wild West

It's getting time to call those cowboys home. The days of "anything goes" in big data will come to a close next May, when the European Union's new General Data Protection Regulation (GDPR) goes into full effect. On Ma Read more…

Platform Incorporates Spark to Boost Collaboration

In-memory tools such as Apache Spark continue to mark inroads on predictive analytics platforms designed to allow data scientists and analysts to apply machine learning to large and diverse data sets. Among the goals is Read more…

3 Key Steps to Transforming Healthcare with Predictive Analytics

The healthcare industry has a data problem. There is an overabundance of raw data available, and figuring out the best way to manage this data has presented many challenges. For example, the data from patient records fro Read more…

Predictor Looks to Reduce Patient No-Shows

Among the reasons for skyrocketing U.S. healthcare costs is the relatively mundane problem of patient no-shows, which end up costing the healthcare sector billions of dollars in lost revenues each year. In response, heal Read more…

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This Just In

Dataiku Announces Global 2020 EGG Conference Series

Mar 9, 2020 |

NEW YORK, March 9, 2020 — Dataiku, developer of Enterprise AI and machine learning platforms, announced the lineup for its 2020 EGG Conferences, with events planned in eight cities worldwide. Read more…

Dataiku DSS 3.1 Unveiled

Aug 1, 2016 |

Aug. 1 — Dataiku, the maker of the all-in-one predictive analytics software platform Dataiku Data Science Studio (DSS), has today announced the release of Dataiku DSS 3.1, which adds additional external integrations, an improved UX interface, 5 visual machine learning engines, and now enables transformations in Apache Spark’s native language, Scala.  Read more…

Dataiku Predictive Analytics Now On Microsoft Azure

Apr 19, 2016 |

April 19 — Dataiku, maker of Dataiku Data Science Studio (DSS), has today announced that the company’s flagship product is now available on the Microsoft Azure cloud platform. Read more…

Dataiku Continues Expansion Into North American Market

Mar 18, 2016 |

NEW YORK, N.Y., March 18 — As the data science and big data analytics industry continues to heat up, Dataiku, the maker of the predictive analytics software platform Dataiku Data Science Studio (DSS), gains momentum as the company continues its expansion into the North American market. Read more…

Dataiku Releases Data Science Studio 2.3

Feb 11, 2016 |

Feb. 11 — Dataiku (www.dataiku.com) the maker of Data Science Studio (DSS), today announced the release of DSS 2.3, improving the user experience and efficiency of their data analysis software suite – Read more…

Dataiku Releases “Advanced Analytics for Efficient Healthcare”

Jan 15, 2016 |

Jan. 15 — Dataiku – the software developer behind the advanced analytics platform Data Science Studio (DSS) – uses their data science expertise to outline clear steps to build and run predictive applications that leverage data to answer specific needs and solve costly problems in healthcare. Read more…

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